Publikation: Large data and Bayesian modeling-aging ...
Stammdaten
Titel: | Large data and Bayesian modeling-aging curves of NBA players |
Untertitel: | |
Kurzfassung: | Researchers interested in changes that occur as people age are faced with a number of methodological problems, starting with the immense time scale they are trying to capture, which renders laboratory experiments useless and longitudinal studies rather rare. Fortunately, some people take part in particular activities and pastimes throughout their lives, and often these activities are systematically recorded. In this study, we use the wealth of data collected by the National Basketball Association to describe the aging curves of elite basketball players. We have developed a new approach rooted in the Bayesian tradition in order to understand the factors behind the development and deterioration of a complex motor skill. The new model uses Bayesian structural modeling to extract two latent factors, those of development and aging. The interaction of these factors provides insight into the rates of development and deterioration of skill over the course of a player's life. We show, for example, that elite athletes have different levels of decline in the later stages of their career, which is dependent on their skill acquisition phase. The model goes beyond description of the aging function, in that it can accommodate the aging curves of subgroups (e.g., different positions played in the game), as well as other relevant factors (e.g., the number of minutes on court per game) that might play a role in skill changes. The flexibility and general nature of the new model make it a perfect candidate for use across different domains in lifespan psychology. |
Schlagworte: |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 08.2019 (Print) |
Erschienen in: |
Behavior Research Methods
Behavior Research Methods
(
Springer;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | 51 |
Heftnummer: | 4 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1544 - 1564 |
Bild der Titelseite: |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.3758/s13428-018-1183-8 |
Homepage: | - |
Open Access |
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Erscheinungsdatum: | 08.2019 |
ISBN: | - |
ISSN: | 1554-3528 |
Homepage: | - |
AutorInnen
Nemanja Vaci (extern) | ||||
Dijana Cocić (extern) | ||||
Bartosz Gula (intern) | ||||
Merim Bilalić
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Zuordnung
Organisation | Adresse | ||||
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Fakultät für Sozialwissenschaften
Institut für Psychologie Abteilung für Allgemeine Psychologie und Kognitionsforschung
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AT - 9020 Klagenfurt |
Kategorisierung
Sachgebiete | |
Forschungscluster |
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Zitationsindex |
Informationen zum Zitationsindex: Master Journal List
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Peer Reviewed |
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Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Arbeitsgruppen | Keine Arbeitsgruppe ausgewählt |
Kooperationen
Organisation | Adresse | ||
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Department of Psychology, University of Northumbria at Newcastle
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GB
Newcastle upon Tyne |
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Department of Psychiatry, University of Oxford
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GB
Oxford |
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